World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
60
Citations
13554
World Ranking
3828
National Ranking
52

Dewen Hu publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Dewen Hu sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 315 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Dewen Hu D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Dewen Hu sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Dewen Hu is affiliated with the National University of Defense Technology in China. Their research primarily spans the fields of Neuroscience and Computer Science, with a significant focus on Cognitive Neuroscience and Computer Vision and Pattern Recognition. Additional subfields of interest include Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Aerospace Engineering.

The scientist's main topics of work encompass:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced MRI Techniques and Applications

Dewen Hu has contributed papers to a range of publication venues, among the most frequent are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Cognitive and Developmental Systems
  • Biological Psychiatry

Several recent papers authored or coauthored by Dewen Hu include:

  • Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images, 2020, Medical Image Analysis
  • RayMVSNet++: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review, 2021, Frontiers in Neuroscience
  • Self-Paced Dynamic Infinite Mixture Model for Fatigue Evaluation of Pilots' Brains, 2020, IEEE Transactions on Cybernetics

Frequent coauthors of Dewen Hu include Ling-Li Zeng, Hui Shen, Jianpo Su, Li Liu, and Yang Yu. The counts of collaborations range from 15 to 40 coauthored works with these individuals.

Best Publications

  • Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis

    Ling Li Zeng;Hui Shen;Li Liu;Lubin Wang

  • Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.

    Hui Shen;Lubin Wang;Yadong Liu;Dewen Hu

  • A Treatment-Resistant Default Mode Subnetwork in Major Depression

    Baojuan Li;Li Liu;Karl J. Friston;Hui Shen

  • Rapid and brief communication: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

    Dewen Hu;Guiyu Feng;Zongtan Zhou

  • A brain network model for depression: From symptom understanding to disease intervention.

    Bao-Juan Li;Bao-Juan Li;Karl Friston;Maria Mody;Hua-Ning Wang

  • Correlation-based channel selection and regularized feature optimization for MI-based BCI

    Jing Jin;Yangyang Miao;Ian Daly;Cili Zuo

  • Neurobiological basis of head motion in brain imaging

    Ling-Li Zeng;Ling-Li Zeng;Danhong Wang;Michael D. Fox;Michael D. Fox;Mert Sabuncu

  • Reply: Comment on two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

    Dewen Hu;Guiyu Feng;Zongtan Zhou

  • A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller

    Erwei Yin;Zongtan Zhou;Jun Jiang;Yang Yu

  • Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI

    Ling-Li Zeng;Huaning Wang;Panpan Hu;Bo Yang

  • A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm.

    Erwei Yin;Zongtan Zhou;Jun Jiang;Fanglin Chen

  • Generalised filtering and stochastic DCM for fMRI

    Baojuan Li;Jean Daunizeau;Jean Daunizeau;Klaas E. Stephan;Klaas E. Stephan;William D. Penny

  • Unsupervised classification of major depression using functional connectivity MRI.

    Ling-Li Zeng;Hui Shen;Li Liu;Dewen Hu

  • A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP

    Erwei Yin;Zongtan Zhou;Jun Jiang;Fanglin Chen

  • Scene classification using a multi-resolution bag-of-features model

    Li Zhou;Zongtan Zhou;Dewen Hu

  • Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: A voxel-based morphometric study

    Shulin Chen;Weiwei Xia;Lingjiang Li;Jun Liu

  • Globally Consistent Reconstruction of Ripped-Up Documents

    Liangjia Zhu;Zongtan Zhou;Dewen Hu

  • Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast

    Li Zhou;Zhaohui Yang;Qing Yuan;Zongtan Zhou

  • Extended local binary patterns for face recognition

    Li Liu;Paul Fieguth;Guoying Zhao;Matti Pietikäinen

  • Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

    Kai Gao;Jianpo Su;Zhongbiao Jiang;Ling Li Zeng

  • Towards correlation-based time window selection method for motor imagery BCIs.

    Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab

  • Altered Cerebellar Functional Connectivity with Intrinsic Connectivity Networks in Adults with Major Depressive Disorder

    Li Liu;Ling-Li Zeng;Yaming Li;Qiongmin Ma

Frequent Co-Authors

Fanglin Chen
Fanglin Chen University of South Carolina
Zhening Liu
Zhening Liu Central South University
Karl J. Friston
Karl J. Friston University College London
Dinggang Shen
Dinggang Shen ShanghaiTech University
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Jing Jin
Jing Jin East China University of Science and Technology
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Qiang Liu
Qiang Liu Chinese Academy of Sciences
Shuqiao Yao
Shuqiao Yao Central South University
Paul M. Thompson
Paul M. Thompson University of Southern California

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